首页|Sigma metrics in laboratory medicine: A call for harmonization
Sigma metrics in laboratory medicine: A call for harmonization
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NSTL
Elsevier
Background and aim: Sigma metrics are applied in clinical laboratories to assess the quality of analytical processes. A parameter associated to a Sigma > 6 is considered "world class" whereas a Sigma < 3 is "poor" or "unacceptable". The aim of this retrospective study was to quantify the impact of different approaches for Sigma metrics calculation. Material and methods: Two IQC levels of 20 different parameters were evaluated for a 12-month period. Sigma metrics were calculated using the formula: (allowable total error (TEa) (%) - bias (%))/(coefficient of variation (CV) (%)).Method precision was calculated monthly or annually. The bias was obtained from peer comparison program (PCP) or external quality assessment program (EQAP), and 9 different TEa sources were included.Results: There was a substantial monthly variation of Sigma metrics for all combinations, with a median variation of 32% (IQR, 25.6-41.3%). Variation across multiple analyzers and IQC levels were also observed. Furthermore, TEa source had the highest impact on Sigma calculation with proportions of Sigma > 6 ranging from 17.5% to 84.4%. The nature of bias was less decisive.Conclusion: In absence of a clear consensus, we recommend that laboratories calculate Sigma metrics on a sufficiently long period of time (>6 months) and carefully evaluate the choice of TEa source.
NSTL
Elsevier
